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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -12,6 +12,16 @@ Broadcasting: Automatic adaption of dimensions​
Questions to [David Rotermund](mailto:davrot@uni-bremen.de) Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
## [General broadcasting rules](https://numpy.org/devdocs/user/basics.broadcasting.html)
> When operating on two arrays, NumPy compares their shapes element-wise. It starts with the trailing (i.e. rightmost) dimension and works its way left. **Two dimensions are compatible when**
>
> * **they are equal**, or
> * **one of them is 1**.
>
> If these conditions are not met, a ValueError: operands could not be broadcast together exception is thrown, indicating that the arrays have incompatible shapes.
>
> **Input arrays do not need to have the same number of dimensions**. **The resulting array will have the same number of dimensions as the input array with the greatest number of dimensions**, where the size of each dimension is the largest size of the corresponding dimension among the input arrays. Note that missing dimensions are assumed to have size one.
![broadcasting_1.png](broadcasting_1.png) ![broadcasting_1.png](broadcasting_1.png)